CN102726102B - Base station, travelling carriage and method in Wireless Heterogeneous Networks - Google Patents

Abstract

The invention discloses the base station in a kind of Wireless Heterogeneous Networks, comprising: transmitter unit, is configured to mobile device and adjacent base station transmitting message; Receiving element, is configured to receive the message from mobile device and adjacent base station; And associative cell, be configured to: according to the message from mobile device and base station, carry out the respective associated of mobile device and base station based on signal strength signal intensity and load balance. The invention also discloses a kind of corresponding mobile device and method. The present invention considers the equitable proportion for each mobile device, and each mobile device is associated with to optimum node, thereby throughput of system is maximized.

Description

Base station, travelling carriage and method in Wireless Heterogeneous Networks

Technical field

The present invention relates to wireless communication field, be specifically related to a kind of base station for Wireless Heterogeneous Networks, travelling carriage andMethod.

Background technology

In recent years, heterogeneous network (HetNet) is in the follow-up Long Term Evolution of third generation partner program (3GPPLTE-A)Obtain extensive concern. In heterogeneous network, except traditional macro base station community, can also there is the community of other types,For example picocell, home cell and relaying community. In addition, in LTE-A heterogeneous network, introduced new interface environment, andCommunity selection technology becomes an emphasis in heterogeneous network.

For traditional LTE user, connect by the reference signal in the downlink (DL) of the macrocell transmitting to differentReceiving power (RSRP) or Reference Signal Received Quality (RSRQ) compares and carries out community and select. User is providing maximumThe community of RSRP or RSRQ is elected to be Serving cell. For example, but high power cell (macrocell) and low power cell are (micro-comprisingMicrocell, home cell and relaying community) heterogeneous network in, traditional " peak signal " selection scheme causes little userCan select low power nodes as service node. Its main cause is that between high power node and low power nodes, existence is largerTransmitting power is poor.

In fact,, for heterogeneous network, the number that increases the mobile device of being served by low power cell can be broughtSignificant performance boost, particularly for Cell Edge User. Therefore, mobile device is connected to low power cell may more haveProfit, even it can not obtain received power stronger while being connected to high power cell. In the prior art, a kind of low-power that increasesThe simple method that the user of community accesses number is: when determining while selecting macrocell or low power cell, for macrocell andLow power cell is used different RSRP threshold values (being partial to low power cell), thereby expands the coverage of low power cell.This cell selecting method based on scope expansion can make more mobile device can be connected to low power nodes, thereby slowSeparate the traffic load from macrocell. In addition,, in the time eliminating the interference of macrocell, multiple low power cell can be used simultaneouslyThis bandwidth, thereby because the reduction of presence of intercell interference has realized performance boost.

But the different RSRP threshold values that the method adopts and the performance boost that can realize thereof are to be all difficult to determine. In addition, the method is not considered other factors, for example load balance, mobile device distribution, cell deployment etc.

Summary of the invention

The invention provides one and carry out community selection according to long-term channel condition and load balance in heterogeneous networkScheme. Basic thought of the present invention is that a kind of fairness community selection scheme of optimizing is provided. Wherein, consider for eachThe equitable proportion of individual mobile device, is associated with optimum node (base station) each mobile device, thereby maximizes system throughputAmount. Can carry out association to the downlink data rate of each mobile device according to each node. Can be according to lengthPhase channel condition calculates the downlink data rate from each node to each mobile device. By between nodeInterface, the downlink data rate value of the mobile device that shared each base station is served between adjacent base station.

One aspect of the present invention provides the base station in a kind of Wireless Heterogeneous Networks, comprising: transmitter unit, is configured toTo mobile device and adjacent base station transmitting message; Receiving element, is configured to receive disappearing from mobile device and adjacent base stationBreath; And associative cell, be configured to: according to the message from mobile device and base station, based on signal strength signal intensity and load balanceCarry out the respective associated of mobile device and base station.

Preferably, signal strength signal intensity comprises Reference Signal Received Power, and load balance comprises that associated mobile device is on average descendingThe equitable proportion of link data speed maximizes.

Preferably, associative cell is configured to: use Reference Signal Received Power, calculate the descending chain of each mobile deviceCircuit-switched data speed, maximizes with the equitable proportion of realizing average downlink data rate.

More preferably, associative cell is configured to: based on the downlink data rate of each mobile device, ask with greedinessSolution mode is associated with corresponding base station successively the mobile device that is not associated with any base station. Alternatively, associative cell is joinedBe set to: based on the downlink data rate of each mobile device, in Dynamic Programming mode not being associated with any base stationMobile device is associated with corresponding base station successively.

Preferably, associative cell is configured to: the downlink that calculates each mobile device according to long-term channel conditionData rate.

Preferably, base station comprises macro base station, micro-base station, Home eNodeB and relay base station.

Another aspect of the present invention provides the correlating method in a kind of Wireless Heterogeneous Networks, comprises the steps: to receiveFrom the message of mobile device and base station; And according to the message from mobile device and base station, based on signal strength signal intensity and loadBalance is carried out the respective associated of mobile device and base station.

Preferably, signal strength signal intensity comprises Reference Signal Received Power, and load balance comprises that associated mobile device is on average descendingThe equitable proportion of link data speed maximizes.

Preferably, use Reference Signal Received Power, calculate the downlink data rate of each mobile device, to realizeThe equitable proportion of average downlink data rate maximizes.

More preferably, based on the downlink data rate of each mobile device, solve mode there is no association with greedinessMobile device to any base station is associated with corresponding base station successively. Alternatively, the downlink number based on each mobile deviceAccording to speed, in Dynamic Programming mode, the mobile device that is not associated with any base station is associated with to corresponding base station successively.

Preferably, calculate the downlink data rate of each mobile device according to long-term channel condition.

Another aspect of the present invention provides a kind of mobile device, comprising: transmitter unit, is configured to disappear to base station transmittingBreath; Receiving element, is configured to receive the message from base station; And associative cell, be configured to: according to disappearing from base stationBreath, carries out the respective associated of mobile device and base station based on signal strength signal intensity and load balance.

Preferably, signal strength signal intensity comprises Reference Signal Received Power, and load balance comprises that associated mobile device is on average descendingThe equitable proportion of link data speed maximizes.

Preferably, associative cell is configured to: use Reference Signal Received Power, calculate the descending chain of each mobile deviceCircuit-switched data speed, maximizes with the equitable proportion of realizing average downlink data rate.

More preferably, associative cell is configured to: based on the downlink data rate of each mobile device, ask with greedinessSolution mode is associated with corresponding base station successively the mobile device that is not associated with any base station. Alternatively, associative cell is joinedBe set to: based on the downlink data rate of each mobile device, in Dynamic Programming mode not being associated with any base stationMobile device is associated with corresponding base station successively.

Therefore, the invention provides one carries out according to received signal strength and load balance in Wireless Heterogeneous NetworksThe scheme that community is selected. The present invention can greatly promote user and experience and fairness, particularly for the user of cell edge.

Brief description of the drawings

By detailed description with the accompanying drawing below, above and other feature of the present invention will become more apparent, itsIn:

Fig. 1 shows according to the base station selected Sample Scenario in the heterogeneous network of prior art;

Fig. 2 shows the block diagram of base station according to an embodiment of the invention;

Fig. 3 shows the block diagram of mobile device according to an embodiment of the invention;

Fig. 4 shows application scenarios according to an embodiment of the invention;

Fig. 5 shows the flow chart of cell selecting method according to an embodiment of the invention;

Fig. 6 shows the flow chart of cell selecting method in accordance with another embodiment of the present invention;

Fig. 7 shows the example application scene of the present invention in heterogeneous network;

Fig. 8 shows the detail parameters table in the example application scene of Fig. 7;

Fig. 9 shows the cumulative distribution function curve map of the parameter list based on shown in Fig. 8;

Detailed description of the invention

Below, the description to specific embodiments of the invention in conjunction with the drawings, principle of the present invention and realization will becomeObtain obviously. It should be noted in the discussion above that the present invention should not be limited to specific embodiment hereinafter described. Need in addition explanation, for letterJust, for the purpose of, known assemblies related to the present invention is not shown in accompanying drawing.

Fig. 1 shows the associated Sample Scenario of mobile device of the prior art and base station, in this example, comprises as followsTwo kinds of associated schemes:

(1) maximum RSRP: determine Serving cell according to maximum downlink received power, that is:

CellID_serving＝argmax_{i}{RSRP_i}(1)

But this scheme is not suitable for heterogeneous network, because heterogeneous network comprises high power cell (macrocell) and low meritRate community (for example picocell, home cell and relaying community), traditional " peak signal " selection scheme makes little userCan select low power nodes (base station) as service node. Its main cause is to exist between high power node and low power nodesLarger transmitting power is poor. In fact,, for heterogeneous network, increase the number of the mobile device of being served by low power cellCan bring significant performance boost, particularly for Cell Edge User. Therefore, mobile device be connected to low power cell canCan be more favourable, even it can not obtain received power stronger while being connected to high power cell.

(2) the maximum RSRP with side-play amount: carry out the selection of Serving cell according to following standard

CellID_serving＝argmax_{i}{RSRP_i+Bias_i}(2)

In equation (2), Bias_iIt is the side-play amount that community is selected. 0 corresponding macrocell, x (should further determineEmpirical value, in previous system emulation, be x=3/6/9/25dB) corresponding to low power cell. This means mobile deviceAlways be not connected to the base station with maximum downlink received power, cause the scope expansion of low power cell, make moreMobile device select low power cell as its Serving cell. Therefore, can alleviate the traffic load of macrocell, once andEliminated the interference of macrocell, multiple low power cell can be used this bandwidth simultaneously. The shortcoming of this scheme is, is difficult to determineThe ratio of mobile device that be associated with low power nodes, random distribution and scope are expanded the performance boost bringing. SeparatelyOutward, Bias_iOptimal value be only empirical value, in prior art, do not exist calculate preferred Bias_iMethod.

Fig. 2 shows the block diagram of base station 200 according to an embodiment of the invention, and this base station 200 can be applied to wirelessIn heterogeneous network, for example, include but not limited to: macro base station, micro-base station, Home eNodeB, relay base station, and the clothes of other typesBusiness node, etc. As shown in Figure 2, in this example, base station 200 comprises transmitter unit 202, receiving element 204 and association tableUnit 206. Transmitter unit 202 is configured to the mobile device in its service area and adjacent base station transmitting message. Receiving element204 are configured to receive the message from mobile device and adjacent base station. Associative cell 206 is configured to according to establishing from mobileThe message of standby and base station, carries out the respective associated of mobile device and base station based on signal strength signal intensity and load balance.

Fig. 4 shows the application scenarios of one embodiment of the invention. Below in conjunction with the scene shown in Fig. 4, to Fig. 2 instituteThe base station according to an embodiment of the invention 200 showing is further described in more detail.

Suppose and in Gai community, have n mobile device UE, an eNB (for example base station 200) and several slight nodes(base station). Wherein, for the purpose of simplicity of exposition, by this eNB and slightly node all called after eNB (be expressed as eNB1,ENB2 ..., eNBm), i.e. a total m eNB. Downlink data rate from eNBi to UEj is expressed as to r_ij, with eNBiThe number of the UE being associated is expressed as k_i. In table 1 and table 2, each downlink data rate and each are listed respectivelyThe number of the UE that eNB is associated.

Table 1-downlink data rate

The number of the UE that each eNB of table 2-is associated

In the present embodiment, associative cell 206 can and use RSRP value according to Shannon theory, calculates from often by following formulaA node (base station) (also can those skilled in the art will appreciate that certainly, to the downlink data rate of each UETo utilize channel condition to calculate downlink data rate by additive method):

$r_{\mathrm{ij}}=r_{\mathrm{eNBi}->\mathrm{UEj}}=W_{\mathrm{RB}}\mathrm{lo}{g}_2(1+\frac{{\mathrm{RSRP}}_{\mathrm{eNBi}->\mathrm{UEj}}}{N_0+\underset{i^{\′}\≠i}{\mathrm{\Σ}}{\mathrm{RSRP}}_{\mathrm{eNB}{i}^{\′}->\mathrm{UE}{j}^{\′}}})---\left(3\right)$

For the UEj being associated with eNBi, its probability that occupies downlink channel is 1/k_i, therefore on average descend line numberAccording to speed be

In order to realize the equitable proportion in this community, should maximize f (k₁，k₂，...，k_m), it is defined as follows:

$\begin{array}{c}f(k_1,k_2...k_m)\\ =(\stackrel{\‾}{r_{11}}\·\stackrel{\‾}{r_{12}}...\stackrel{\‾}{r_{{1k}_1}})\·(\stackrel{\‾}{r_{2(k_1+1)}}\·\stackrel{\‾}{r_{2(k_1+k_2)}}...\stackrel{\‾}{r_{2(k_1+k_2)}})...(\stackrel{\‾}{r_{m(k_1+k_2+...+k_{m-1}+1)}}\·\stackrel{\‾}{r_{m(k_1+k_2+...+k_{m-1}+2)}}...\stackrel{\‾}{r_{m(k_1+k_2+...+k_{m-1}+k_m)}})\\ =[\left(\frac{r_{11}}{k_1}\right)\·\left(\frac{r_{12}}{k_1}\right)...\left(\frac{r_{{1k}_1}}{k_1}\right)]\·[\left(\frac{r_{2(k_1+1)}}{k_2}\right)\·\left(\frac{r_{2(k_1+2)}}{k_2}\right)...\left(\frac{r_{2(k_1+k_2)}}{k_2}\right)]\\ ...[\left(\frac{r_{m(k_1+k_2+...+k_{m-1}+1)}}{k_m}\right)\·\left(\frac{r_{m(k_1+k_2+...+k_{m-1}+2)}}{k_m}\right)...\left(\frac{r_{m(k_1+k_2+...+k_{m-1}+k_m)}}{k_m}\right)]\\ =\frac{(r_{11}\·r_{12}...r_{{1k}_1})\·(r_{2(k+1)}\·r_{2(k_1+2)}...r_{2(k_1+k_2)})...(r_{m(k_1+k_2+...+k_{m-1}+1)}\·r_{m(k_1+k_2+...+k_{m-1}+2)}...r_{m(k_1+k_2+...+k_{m-1}+k_m)})}{{k_1}^{k_1}\·{k_2}^{k_2}...{k_m}^{k_m}}\end{array}---\left(4\right)$

Wherein $\underset{i=1}{\overset{m}{\mathrm{\Σ}}}{k}_i=n.$

Find out f (k₁，k₂，...，k_m) peaked method have several. Provide two concrete examples below. Should noteMeaning, the present invention is not limited to below described two examples. After the example of those skilled in the art below reading,Can expect that other equivalent method solve f (k₁，k₂，...，k_m) maximum.

(1) first example: greediness solves:

In this example, first associative cell 206 uses the RSRP value receiving by receiving element 204, calculates from oftenAn eNB arrives the downlink data rate of each UE. Then, associative cell 206 executive system parameter initializations. For example,The UE sets definition that is not associated with any eNB, for wait UE set, (initial, this set comprises all UE, i.e. S={1，...，n})。

If S set non-NULL takes out first UE (its ID is n+1-|S|), S=S-{n+1-|S like this from this S set|. Associative cell 206 utilizes following formula to find a best access eNBi, makes the value maximum of following formula, and this UE associationArrive eNBi:

$\max \left\{\frac{r_i\·{k_i}^{k_i}}{{(k_i+1)}^{k_i+1}}\right|i\∈(1...m)\}---\left(5\right)$

Here r,_iThe downlink data rate from eNBi to this UE, k_iIt is the number that has been associated with the UE of eNBi.Associative cell 206 records corresponding UE association results, and each mobile device UE in pair set S carries out association successively, straightBe empty to S set.

(2) second examples: Dynamic Programming solves

In this example, first associative cell 206 uses the RSRP value receiving by receiving element 204, calculates from oftenAn eNB arrives the downlink data rate of each UE. Then, associative cell 206 executive system parameter initializations. For example,The UE sets definition that is not associated with any eNB, for wait UE set, (initial, this set comprises all UE, i.e. S=1 ..., n}). Now, owing to also there not being the UE being associated with base station, so k1=k2=...=km=0, target letterNumber f_max (k1, k2 ..., km)=f (0,0 ..., 0). Suppose f (0,0 ..., 0)=1.

If S set non-NULL takes out first UE (its ID is n+1-|S|), S=S-{n+1-like this from this S set| S|}. For belong to set 0,1 ..., all k1 of n-|S|}, k2 ..., km, if k1+k2+ ... + km=n-|S|, associationThe unit following formula of 206 use calculate f_max (k1, k2 ..., km):

$f_{\max }(k_1,k_2...k_m)=\max \{f_{\max }(k_1,k_2,...,k_i-1,...,k_m)\·\frac{r_i\·{(k_i-1)}^{k_i-1}}{{k_i}^{k_i}}|\∀i\∈\{1...m\},k_i>1\}---\left(6\right)$

Meanwhile, record meets the corresponding UE association results of above-mentioned equation (6). Repeat above-mentioned calculating, until S set isEmpty. When S set is while being empty, associative cell 206 for belong to set 0,1 ..., all k1 of n}, k2 ..., km, calculates f_max(k1, k2 ..., km) maximum, wherein k1+k2+ ... + km=n. On this basis, associative cell 206 is carried out and f_max(k1, k2 ..., km) and corresponding UE association.

Those skilled in the art will appreciate that community of the present invention selects also can on mobile device, carry out. Fig. 3 showsGo out the block diagram of mobile device 300 according to an embodiment of the invention. This mobile device 300 comprises transmitter unit 302, receivesUnit 304 and associative cell 306. Transmitter unit 302 is for to base station transmit signals. Receiving element 304 passes through air interfaceReceive the information of the mobile device associated with each adjacent base station from serving the base station of current area. Associative cell 306Can carry out the associated of mobile device and base station based on received signal strength and load balance. This process and above-described baseStand 200 associative cell 206 class of operation seemingly, repeat no more herein.

Fig. 5 shows the flow chart of cell selecting method 500 according to an embodiment of the invention. As shown in Figure 5, method500 start at step 502 place. At step 504 place, calculating each base station (eNB) from cordless communication network is to eachThe downlink data rate of mobile device (UE). In step 506, initialize the set of the mobile device not being associated with base stationS. In step 508, judge whether S set is empty set. If so, method proceeds to step 512, direct output mobile equipmentAssociation results. Otherwise method proceeds to step 510, from this S set, take out first UE (its ID is n+1-|S|), S like this=S-{n+1-|S|}. Utilize formula mentioned above (5) that this UE is associated with to eNBi. Afterwards, each in pair set S is movedMoving equipment UE is carried out association successively, until S set is empty. Finally, method finishes at step 514 place.

Fig. 6 shows the flow chart of cell selecting method 600 in accordance with another embodiment of the present invention. As shown in Figure 6, sideMethod 600 starts at step 602 place. At step 604 place, calculating each base station (eNB) from cordless communication network is to eachThe downlink data rate of individual mobile device (UE). In step 606, initialize the collection of the mobile device not being associated with base stationClose S, hypothetical target function f (0,0 ..., 0)=1. In step 608, judge whether S set is empty set. If so, method 600Proceed to step 612, for all k1, k2 ..., km, calculating f_max (k1, k2 ..., km) maximum, and execution and f_Max (k1, k2 ..., km) and corresponding UE association.

If judge that in step 608 S set is not empty set, method 600 proceeds to step 610. At step 610 place, fromIn this S set, take out first UE (its ID is n+1-|S|, like this S=S-{n+1-|S|}). For belong to set 0,1 ...,All k1 of n-|S|}, k2 ..., km, use formula mentioned above (6) calculate f_max (k1, k2 ..., km), recordMeet the corresponding UE association results of equation (6). Finally, the method 600 finishes at step 614 place.

By Fig. 7-9, application scenarios is according to an embodiment of the invention described below.

Fig. 7 shows an example of the application of the present invention in 3GPPLTE-A heterogeneous network, and this example has embodied thisThe optimum fairness community selection scheme of invention. Fig. 8 shows the detail parameters table of the example application in Fig. 7. Can from Fig. 8Find out, the cellular layout of this example application scene comprises 7 macro base stations, 3 cellular cells of each macro base station administration. But, forClear for the purpose of, in Fig. 7, only schematically show and comprise 1 macro base station (eNB in Fig. 7) Duo community hexagon clothOffice,, there are two micro-base stations (pico in Fig. 7) these 3 communities of macro base station administration in each community. Can expect, other 6 grandBase station has similar layout.

Fig. 9 shows the function curve diagram of the parameter list based on shown in Fig. 8, and this function curve is and technology of the present inventionThe corresponding normalization user throughput of scheme and two technical schemes of the prior art (side-play amount is 0dB and 6dB) tiredIntegration cloth function curve. In certain some expression system on cumulative distribution function curve, have corresponding to (this ordinate of 1-) percentageCan reach the normalization data speed shown in this abscissa than the user of number. Correspondingly, curve shows it more on the right sideCorresponding scheme performance is better. As shown in Figure 9,4 curves are from left to right respectively for prior art scheme 1 (skewAmount (Bias) is 0dB), prior art scheme 2 (side-play amount (Bias) is 6dB), the solution of the present invention 1 (greediness solves), thisBright scheme 2 (Dynamic Programming). From Fig. 9, can clearly be seen that, the solution of the present invention has obtained better systematic function, spyNot not in cell edge region. In addition, the computation complexity of the solution of the present invention 2 (Dynamic Programming) is than the solution of the present invention 1(greediness solves) is much higher. Therefore, generally can adopt the solution of the present invention 1 (greediness solves) to carry out according to thisThe base station of invention is associated with mobile device. But the solution of the present invention 2 (Dynamic Programming) almost can obtain theoretic propertyThe energy upper bound, therefore, the in the situation that of resource abundance, can adopt the solution of the present invention 2 (Dynamic Programming) to obtain better passConnection.

In addition, for the curve shown in accompanying drawing 9, following table 3 has listed that community is average, cell edge (5%), 50%, markThe Numerical Simulation Results of the associated ratio of mobile device of accurate difference and picocell.

Table 3-Numerical Simulation Results

Numerical Simulation Results listed from table 3 can find out, optimum fairness of the present invention community is selected both to improveThe spectrum efficiency of bandwidth (particularly cell edge), realized again user's fairness in community.

In sum, the invention provides a kind of fairness community selection scheme of optimizing. Wherein, consider for eachThe equitable proportion of mobile device, is specifically associated with optimum node each mobile device, thereby throughput of system is maximized.The present invention can be applied in heterogeneous network or junction network.

Although below show the present invention in conjunction with the preferred embodiments of the present invention, those skilled in the art willWill appreciate that, without departing from the spirit and scope of the present invention, can the present invention be carried out various amendments, replaces and be changedBecome. Therefore, the present invention should not limited by above-described embodiment, and should be limited by claims and equivalent thereof.

Claims (18)

1. the base station in Wireless Heterogeneous Networks, comprising:

Transmitter unit, is configured to mobile device and adjacent base station transmitting message;

Receiving element, is configured to receive the message from mobile device and adjacent base station; And

Associative cell, is configured to: according to the message from mobile device and base station, hold based on signal strength signal intensity and load balanceThe respective associated of row mobile device and base station;

Wherein said load balance comprises that the equitable proportion of the average downlink data rate of associated mobile device maximizes.

2. base station according to claim 1, wherein said signal strength signal intensity comprises Reference Signal Received Power.

3. base station according to claim 2, wherein said associative cell is configured to: use Reference Signal Received Power,Calculate the downlink data rate of each mobile device, to realize the equitable proportion maximum of average downlink data rateChange.

4. base station according to claim 3, wherein said associative cell is configured to: descending based on each mobile deviceLink data speed, solves mode with greediness the mobile device that is not associated with any base station is associated with to corresponding base successivelyStand.

5. base station according to claim 3, wherein said associative cell is configured to: descending based on each mobile deviceLink data speed, is associated with corresponding base in Dynamic Programming mode successively the mobile device that is not associated with any base stationStand.

6. according to the base station described in any one in claim 3-5, wherein said associative cell is configured to: according to long-term letterRoad condition is calculated the downlink data rate of each mobile device.

7. according to the base station described in any one in claim 1-5, wherein said base station comprises macro base station, micro-base station, familyBase station and relay base station.

8. the correlating method in Wireless Heterogeneous Networks, comprises the steps:

Receive the message from mobile device and base station; And

According to the message from mobile device and base station, carry out mobile device and base station based on signal strength signal intensity and load balanceRespective associated;

Wherein said load balance comprises that the equitable proportion of the average downlink data rate of associated mobile device maximizes.

9. correlating method according to claim 8, wherein said signal strength signal intensity comprises Reference Signal Received Power.

10. correlating method according to claim 9, wherein uses Reference Signal Received Power, calculates each mobile deviceDownlink data rate, with realize average downlink data rate equitable proportion maximize.

11. correlating methods according to claim 10, the wherein downlink data rate based on each mobile device, withGreediness solves mode the mobile device that is not associated with any base station is associated with to corresponding base station successively.

12. correlating methods according to claim 10, the wherein downlink data rate based on each mobile device, withDynamic Programming mode is associated with corresponding base station successively the mobile device that is not associated with any base station.

13. correlating methods according to claim 10, wherein calculate each mobile device according to long-term channel conditionDownlink data rate.

14. 1 kinds of mobile devices, comprising:

Transmitter unit, is configured to base station transmitting message;

Receiving element, is configured to receive the message from base station; And

Associative cell, is configured to: according to the message from base station, carry out mobile device based on signal strength signal intensity and load balanceRespective associated with base station;

Wherein said load balance comprises that the equitable proportion of the average downlink data rate of associated mobile device maximizes.

15. mobile devices according to claim 14, wherein said signal strength signal intensity comprises Reference Signal Received Power.

16. mobile devices according to claim 15, wherein said associative cell is configured to: use reference signal to receivePower, calculates the downlink data rate of each mobile device, to realize the equitable proportion of average downlink data rateMaximize.

17. mobile devices according to claim 16, wherein said associative cell is configured to: based on each mobile deviceDownlink data rate, solve mode with greediness the mobile device that is not associated with any base station be associated with corresponding successivelyBase station.

18. mobile devices according to claim 16, wherein said associative cell is configured to: based on each mobile deviceDownlink data rate, in Dynamic Programming mode, the mobile device that is not associated with any base station is associated with corresponding successivelyBase station.